Rep. Jim Clyburn, the 86-year-old South Carolina Democrat and longtime congressional power broker, acknowledged that he had only learned what ChatGPT was roughly a week before a summer podcast interview that recently resurfaced, despite artificial intelligence rapidly becoming one of the most consequential economic, national-security and regulatory issues confronting Washington. Clyburn said he had never used ChatGPT or Claude and had never visited a data center, explaining that he relies on knowledgeable staff, relationships and outside expertise when dealing with unfamiliar subjects. His comments have renewed concerns about whether members of Congress possess sufficient technological literacy to oversee an industry advancing faster than Washington’s traditional policymaking machinery, particularly as lawmakers debate AI liability, cybersecurity, transparency, employment disruption and potentially catastrophic risks.
Key Takeaways
- Clyburn acknowledged that he had only recently learned about ChatGPT, had never used major generative-AI platforms and had never visited a data center, despite serving in Congress while AI has emerged as a major legislative and economic issue.
- Clyburn defended his ability to govern unfamiliar subjects by pointing to knowledgeable staff and expert relationships, illustrating Congress’ longstanding reliance on advisers while raising the question of how much baseline technological understanding elected lawmakers themselves should possess.
- The admission comes as Congress, states and local governments consider increasingly consequential AI regulations involving cybersecurity, liability, transparency, safety standards and control of advanced systems, making technological competence among policymakers increasingly important.
In-Depth
Rep. Jim Clyburn’s admission that he had only recently learned what ChatGPT was is more than an awkward moment for an 86-year-old congressman. It exposes a serious governing problem: lawmakers are being asked to shape rules for technologies they may barely understand, even as artificial intelligence transforms employment, cybersecurity, education, media, national security and the economy.
Clyburn said he does not use ChatGPT or Claude and had never visited a data center. Asked how he could legislate effectively amid technological change, he pointed to staff and outside expertise. Congressional offices routinely depend on specialists, and no elected official can personally master every policy field. But AI is rapidly becoming less a narrow specialty than a foundational technology touching nearly every major policy portfolio.
That matters because Congress is confronting consequential AI questions. Bipartisan lawmakers are considering liability for AI-enabled hacking, transparency requirements, model safeguards and mechanisms for shutting down systems deemed catastrophically dangerous. Meanwhile, state and local officials are pursuing rules as federal policymakers struggle to reach consensus.
The concern is therefore not that every member of Congress must write computer code or understand neural-network architecture. The concern is whether lawmakers possess enough firsthand understanding to challenge lobbyists, evaluate competing claims and recognize unintended consequences before voting.
Clyburn’s remarks offer an uncomfortable snapshot of Washington’s technological divide. A government capable of regulating transformative technology responsibly needs elected officials who understand at least its basic capabilities, risks and economic implications. Delegating expertise to staff is necessary; delegating basic comprehension is not.